Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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@ -24,13 +24,13 @@ The *Grid aggregation* source uses {ref}/search-aggregations-bucket-geotilegrid-
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You can symbolize grid aggregation metrics as:
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*Points*:: Creates a <<vector-layer, vector layer>> with a point for each gridded cell.
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The point location is the weighted centroid for all geo-points in the gridded cell.
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*Grid rectangles*:: Creates a <<vector-layer, vector layer>> with a bounding box polygon for each gridded cell.
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*Heat map*:: Creates a <<heatmap-layer, heat map layer>> that clusters the weighted centroids for each gridded cell.
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*Clusters*:: Creates a <<vector-layer, vector layer>> with a cluster symbol for each gridded cell.
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The cluster location is the weighted centroid for all geo-points in the gridded cell.
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[role="xpack"]
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[[maps-top-hits-aggregation]]
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@ -157,7 +157,7 @@ image::maps/images/grid_metrics_both.png[]
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. In the map legend, click *Add layer*.
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. Click the *Grid aggregation* data source.
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. Set *Index pattern* to *kibana_sample_data_logs*.
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. Set *Show as* to *points*.
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. Set *Show as* to *clusters*.
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. Click the *Add layer* button.
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. Set *Name* to `Total Requests and Bytes`.
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. Set *Visibility* to the range [0, 9].
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@ -19,7 +19,7 @@ NOTE: Document results are limited to the `index.max_result_window` index settin
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Use <<maps-aggregations, aggregations>> to plot large data sets.
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*Grid aggregation*:: Geospatial data grouped in grids with metrics for each gridded cell.
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Set *Show as* to *grid rectangles* or *points*.
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Set *Show as* to *grid rectangles* or *clusters*.
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The index must contain at least one field mapped as {ref}/geo-point.html[geo_point].
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*EMS Boundaries*:: Administrative boundaries from https://www.elastic.co/elastic-maps-service[Elastic Maps Service].
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@ -39,7 +39,7 @@ const requestTypeOptions = [
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},
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{
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label: i18n.translate('xpack.maps.source.esGeoGrid.pointsDropdownOption', {
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defaultMessage: 'points',
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defaultMessage: 'clusters',
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}),
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value: RENDER_AS.POINT,
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},
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